Instructions to use karim155/convnext-tiny-224-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karim155/convnext-tiny-224-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="karim155/convnext-tiny-224-finetuned") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("karim155/convnext-tiny-224-finetuned") model = AutoModelForImageClassification.from_pretrained("karim155/convnext-tiny-224-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
convnext-tiny-224-finetuned / runs /Aug19_12-49-18_60e65509f3ae /events.out.tfevents.1724071775.60e65509f3ae.3602.1
- Xet hash:
- e95e1fcbbc8074f44b2ed19abbb17e4fdc792e4c3f4b599b35d1412338352bc8
- Size of remote file:
- 10.2 kB
- SHA256:
- 1a2d859bf85c372e268a7a5fbede2c4eaef40d985a9276d86efa211632df9a3b
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